Participant info

| Children |
17 |
11.32 |
0.8799 |
8 |
| Adolescents |
29 |
15.37 |
1.518 |
14 |
| Adults |
46 |
22.11 |
2.36 |
25 |
Agency task: Machine selection
Model: Optimal machine choices across trials by condition and
age
## Mixed Model Anova Table (Type 3 tests, LRT-method)
##
## Model: stage_2_acc ~ condition * zTrialOfCond * (zAge) + (condition *
## Model: zTrialOfCond | subID)
## Data: banditTask.filtered
## Df full model: 18
## Effect df Chisq p.value
## 1 condition 1 20.86 *** <.001
## 2 zTrialOfCond 1 60.59 *** <.001
## 3 zAge 1 1.46 .227
## 4 condition:zTrialOfCond 1 0.08 .781
## 5 condition:zAge 1 0.21 .650
## 6 zTrialOfCond:zAge 1 1.46 .226
## 7 condition:zTrialOfCond:zAge 1 0.09 .770
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: stage_2_acc ~ condition * zTrialOfCond * (zAge) + (condition *
## zTrialOfCond | subID)
## Data: data
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+06))
##
## AIC BIC logLik deviance df.resid
## 8674.1 8807.6 -4319.1 8638.1 12262
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -16.3075 0.0788 0.1984 0.3889 2.4780
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## subID (Intercept) 2.4576 1.5677
## condition1 0.3558 0.5965 -0.09
## zTrialOfCond 0.4269 0.6534 0.77 0.01
## condition1:zTrialOfCond 0.2272 0.4766 0.18 0.36 0.13
## Number of obs: 12280, groups: subID, 92
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 2.37787 0.17242 13.792 < 2e-16 ***
## condition1 -0.41517 0.08149 -5.095 3.5e-07 ***
## zTrialOfCond 0.71264 0.08315 8.571 < 2e-16 ***
## zAge 0.20570 0.16936 1.215 0.225
## condition1:zTrialOfCond -0.01845 0.06823 -0.270 0.787
## condition1:zAge -0.03405 0.07434 -0.458 0.647
## zTrialOfCond:zAge 0.09524 0.07818 1.218 0.223
## condition1:zTrialOfCond:zAge 0.01863 0.06182 0.301 0.763
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) cndtn1 zTrlOC zAge cn1:TOC cnd1:A zTOC:A
## condition1 -0.108
## zTrialOfCnd 0.713 -0.045
## zAge 0.021 -0.003 0.033
## cndtn1:zTOC 0.096 0.473 -0.007 -0.001
## condtn1:zAg -0.003 0.091 -0.002 -0.096 0.079
## zTrlOfCnd:A 0.034 -0.003 0.067 0.715 -0.009 -0.014
## cndt1:TOC:A -0.002 0.078 -0.009 0.131 0.091 0.397 0.044
Plot: Proportion optimal machine selections across age groups and
trials

Agency task: Agency decisions
Model: Agency decisions by VoC
## Mixed Model Anova Table (Type 3 tests, LRT-method)
##
## Model: agency ~ zVoC * zTrialOfCond * zAge + (zVoC * zTrialOfCond |
## Model: subID)
## Data: banditTask
## Df full model: 18
## Effect df Chisq p.value
## 1 zVoC 1 144.39 *** <.001
## 2 zTrialOfCond 1 3.56 + .059
## 3 zAge 1 0.01 .906
## 4 zVoC:zTrialOfCond 1 50.21 *** <.001
## 5 zVoC:zAge 1 4.17 * .041
## 6 zTrialOfCond:zAge 1 2.53 .111
## 7 zVoC:zTrialOfCond:zAge 1 9.59 ** .002
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: agency ~ zVoC * zTrialOfCond * zAge + (zVoC * zTrialOfCond |
## subID)
## Data: data
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+06))
##
## AIC BIC logLik deviance df.resid
## 26597.3 26746.3 -13280.7 26561.3 28962
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -33.889 -0.549 0.190 0.543 13.837
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## subID (Intercept) 1.86467 1.3655
## zVoC 0.45871 0.6773 -0.18
## zTrialOfCond 0.23503 0.4848 0.63 -0.02
## zVoC:zTrialOfCond 0.09566 0.3093 -0.02 0.47 -0.34
## Number of obs: 28980, groups: subID, 92
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 0.74203 0.14391 5.156 2.52e-07 ***
## zVoC 1.42145 0.07444 19.096 < 2e-16 ***
## zTrialOfCond 0.10238 0.05418 1.890 0.05879 .
## zAge -0.01696 0.14368 -0.118 0.90603
## zVoC:zTrialOfCond 0.32578 0.03909 8.335 < 2e-16 ***
## zVoC:zAge 0.15339 0.07390 2.076 0.03792 *
## zTrialOfCond:zAge -0.08631 0.05364 -1.609 0.10759
## zVoC:zTrialOfCond:zAge 0.12286 0.03816 3.219 0.00129 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) zVoC zTrlOC zAge zVC:zTOC zVC:zA zTOC:A
## zVoC -0.157
## zTrialOfCnd 0.603 -0.002
## zAge 0.003 0.000 0.001
## zVC:zTrlOfC -0.005 0.431 -0.219 0.001
## zVoC:zAge 0.000 0.015 0.002 -0.161 0.013
## zTrlOfCnd:A 0.001 0.001 0.012 0.604 -0.005 -0.006
## zVC:zTrOC:A 0.001 0.013 -0.004 -0.008 0.041 0.427 -0.242
Model: Agency decisions when VoC = 0
## Mixed Model Anova Table (Type 3 tests, LRT-method)
##
## Model: agency ~ zAge + (1 | subID)
## Data: banditTask.vocZeroTrials
## Df full model: 3
## Effect df Chisq p.value
## 1 zAge 1 0.00 .961
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
## Generalized linear mixed model fit by maximum likelihood (Laplace
## Approximation) [glmerMod]
## Family: binomial ( logit )
## Formula: agency ~ zAge + (1 | subID)
## Data: data
## Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 1e+06))
##
## AIC BIC logLik deviance df.resid
## 4304.7 4323.7 -2149.4 4298.7 4137
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.2769 -0.6929 0.3759 0.6286 2.1169
##
## Random effects:
## Groups Name Variance Std.Dev.
## subID (Intercept) 1.24 1.113
## Number of obs: 4140, groups: subID, 92
##
## Fixed effects:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 1.246212 0.124404 10.017 <2e-16 ***
## zAge -0.006025 0.123891 -0.049 0.961
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr)
## zAge -0.002
Plot: Sensitivity to the value of choice

Plot: Sensitivity to value of control with continuous age


Summary stats: Sensitivity to value of control
Choice preference task
Choice preference task: summary stats
Model: Choice preference task accuracy
## Mixed Model Anova Table (Type 3 tests, LRT-method)
##
## Model: correct ~ zDiff * zAge + (zDiff | subID)
## Data: rewardSense.filtered
## Df full model: 7
## Effect df Chisq p.value
## 1 zDiff 1 79.85 *** <.001
## 2 zAge 1 0.78 .376
## 3 zDiff:zAge 1 1.36 .244
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
Explicit reward knowledge task
Explicit reward knowledge task: summary stats
Model: Explicit reward knowledge by age and true probabilities
## Mixed Model Anova Table (Type 3 tests, S-method)
##
## Model: error ~ zTrueProb * zAge + (1 | subID)
## Data: explicitKnow.filtered
## Effect df F p.value
## 1 zTrueProb 1, 456.86 21.67 *** <.001
## 2 zAge 1, 89.88 0.04 .845
## 3 zTrueProb:zAge 1, 456.86 0.36 .548
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '+' 0.1 ' ' 1
Plot: Explicit reward knowledge

---
title: "VoC Analyses Part 2: Regressions"
date: 1/8/24
output:
    html_document:
        df_print: 'paged'
        toc: true
        toc_float:
            collapsed: false
            smooth_scroll: true
        number_sections: false
        code_download: true
        self_contained: true
---
```{r chunk settings, include = FALSE}
# set chunk settings
knitr::opts_chunk$set(echo = FALSE, 
                      cache = TRUE,
                      message = FALSE,
                      warning = FALSE)
knitr::opts_chunk$set(dpi=600)
knitr::opts_knit$set(root.dir = rprojroot::find_rstudio_root_file())
```
                      
```{r setup, include=FALSE}

# list all packages required for the analysis
list_of_packages <- c("tidyverse", "afex", "pander")

# load all packages 
lapply(list_of_packages, library, character.only = TRUE)

# add theme for plotting
voc_theme <- function () {
  theme(
    panel.border = element_rect(fill = "transparent", color="gray75"),
    panel.background  = element_blank(),
    plot.background = element_blank(), 
    legend.background = element_rect(fill="transparent", colour=NA),
    legend.key = element_rect(fill="transparent", colour=NA),
    line = element_blank(),
    axis.ticks = element_line(color="gray75"),
    text=element_text(family="Avenir"),
    axis.text = element_text(size = 12),
    axis.title = element_text(size = 15),
    title = element_text(size = 15),
    strip.background = element_blank(),
    strip.text = element_text(size=12)
  )
}

color1 = "#00b4d8"
color2 = "#0077b6"
color3 = "#03045e"


#z-score function
scale_this <- function(x){
  (x - mean(x, na.rm=TRUE)) / sd(x, na.rm=TRUE)
}

```

# Participant info
```{r participants plot}

#load demographic info
sub_info <- read_csv('data/voc_sub_info.csv') 

# plot histogram of male and female participants
sub_info %>% mutate(whole_age = floor(age)) %>% 
    group_by(subID, gender, whole_age) %>% 
    distinct(subID) %>% 
    ggplot(., aes(x=whole_age, fill=gender)) +
    geom_histogram(binwidth = 1, color="white") +
    scale_fill_manual(name="Sex",
                    labels=c("Female", "Male"),
                    values=c(color1, color2)) +
    scale_y_continuous(breaks = c(2,4,6,8,10),
                   labels = c("2","4","6","8","10"),
                   limits = c(0,10)) +
    xlab("Age") +
    ylab("Count") +
    voc_theme()
```

```{r participant info}

#load demographic info
sub_info <- read_csv('data/voc_sub_info.csv') %>%
    mutate(age_group = case_when(age < 13 ~ "Children",
                                 age > 12.99 & age < 18 ~ "Adolescents",
                                 age > 17.99 ~ "Adults"))

sub_info$age_group <- factor(sub_info$age_group, levels = c("Children", "Adolescents", "Adults"))

# age group information
age_group_info <- sub_info %>%
    group_by(age_group) %>%
    summarize(N = n(), 
              meanAge = mean(age),
              sdAge = sd(age),
              nFemale = sum(gender == "F")
              )

pander(age_group_info)
```


# Agency task: Machine selection
## Model: Optimal machine choices across trials by condition and age
```{r machine choices across trials by age}

# Read in data
banditTask <- read_csv('data/processed/bandit_task.csv') 

#combine with participant age
banditTask <- full_join(banditTask, sub_info, by = c("subID"))

# Filter data to have only trials where people choose agency and exclude trials with 50-50 condition 
banditTask.filtered <- banditTask %>% 
    filter(agency == 1, condition!="bandits5050")

# Scale continuous variables
banditTask.filtered$zAge <- scale_this(banditTask.filtered$age)
banditTask.filtered$zTrialOfCond <- scale_this(banditTask.filtered$trialOfCond)

# Mixed-effects logistic regression model
correct_byConditionTrialAge.mixed <- mixed(stage_2_acc ~ condition*zTrialOfCond*(zAge) + (condition*zTrialOfCond|subID), 
                data = banditTask.filtered,
                family = binomial, 
                method = "LRT",
                control=glmerControl(optimizer="bobyqa", optCtrl=list(maxfun=1e6)))

#display model stats
correct_byConditionTrialAge.mixed 
summary(correct_byConditionTrialAge.mixed)
```

## Plot: Proportion optimal machine selections across age groups and trials
```{r plot bandit choices across trials, width = 7, height = 4, unit = "in"}

banditTaskSubMeans <- banditTask %>%
    mutate(block = floor((trial-1)/21) + 1) %>%
    filter(agency==1, condition!="bandits5050") %>% 
    group_by(condition, block, age_group, subID) %>% 
    summarize(pctCorrect = mean(stage_2_acc))

banditTaskMeans <- banditTaskSubMeans %>%
    group_by(condition, block, age_group) %>% 
    summarize(pctCorr = mean(pctCorrect),
              se = sd(pctCorrect)/sqrt(n()))

machineSelectionPlot <- ggplot(banditTaskMeans, aes(x=block, y=pctCorr, color=condition)) +
    facet_wrap(~age_group) +
    geom_point(size = 3) +
    geom_jitter(data = banditTaskSubMeans,  aes(x = block, y = pctCorrect, color=condition), size = .5) +
    geom_smooth(method = "lm", aes(fill = condition)) +
    geom_hline(yintercept = .5, linetype="dashed") +
    ylab("Proportion Optimal Machine Selections") +
    xlab("Block") +
    scale_x_continuous(breaks = c(4, 8, 12)) +
    scale_fill_manual(name="Condition",
                      labels=c("70/30",
                               "90/10"),
                      values=c(color1, color3), 
                      guide = guide_legend(reverse=TRUE)) +
    scale_color_manual(name="Condition",
                      labels=c("70/30",
                               "90/10"),
                      values=c(color1, color3),
                     guide = guide_legend(reverse=TRUE)) +
    voc_theme() +
    theme(strip.text = element_text(size=12))
machineSelectionPlot
```


# Agency task: Agency decisions 
## Model: Agency decisions by VoC
```{r voc model}

#scale voc
banditTask$zVoC <- scale_this(banditTask$voc)
banditTask$zTrialOfCond <- scale_this(banditTask$trialOfCond)
banditTask$zAge <- scale_this(banditTask$age)

# predict agency choice from utility of control, trial, linear age
agency_byVOCTrialAge.mixed = mixed(agency ~ zVoC * zTrialOfCond * zAge + (zVoC * zTrialOfCond|subID), 
                        data = banditTask, 
                        family = binomial, 
                        method = "LRT", control=glmerControl(optimizer="bobyqa",optCtrl=list(maxfun=1e6))) 

#display stats
agency_byVOCTrialAge.mixed
summary(agency_byVOCTrialAge.mixed)
```

## Model: Agency decisions when VoC = 0
```{r voc 0 model}

#filter data
banditTask.vocZeroTrials <- banditTask %>%
    filter(voc == 0)

#scale age
banditTask.vocZeroTrials$zAge <- scale(banditTask.vocZeroTrials$age)

# predict agency choice from utility of control, trial, linear age
agency_vocZero_byAge.mixed = mixed(agency ~  zAge + (1|subID), 
                        data = banditTask.vocZeroTrials, 
                        family = binomial, 
                        method = "LRT", control=glmerControl(optimizer="bobyqa", optCtrl=list(maxfun=1e6))) 

#display stats
agency_vocZero_byAge.mixed
summary(agency_vocZero_byAge.mixed)
```

## Plot: Sensitivity to the value of choice
```{r voc plot, fig.height = 4, fig.width = 7, unit = "in"}

VoC_plot_sub_means <- banditTask %>% 
    mutate(taskHalf = case_when(trial < 158 ~ "First Half of Task",
                                trial > 157 ~ "Second Half of Task")) %>%
    group_by(age_group, taskHalf, voc, subID) %>%
    summarize(meanSubAgency = mean(agency, na.rm = T))

VoC_plot_means <- VoC_plot_sub_means %>% 
    group_by(age_group, taskHalf, voc) %>%
    summarize(meanAgency = mean(meanSubAgency, na.rm = T),
              seAgency = sd(meanSubAgency / sqrt(n())))

#plot
VoC_plot <- ggplot(VoC_plot_means, aes(x = voc, y = meanAgency, color = age_group)) +
    facet_wrap(~taskHalf) +
    geom_point(aes(color = age_group)) + 
    geom_errorbar(aes(color = age_group, ymin = meanAgency - seAgency, ymax = meanAgency + seAgency), width = .1) + 
    geom_line(aes(group = age_group)) +
    scale_color_manual(values=c("#84347C", "#B40424", "#EB6D1E"), name = "Age Group") +
    xlab("Value of Choice (VoC)") +
    ylab("Proportion Agency Choices") +
    geom_hline(yintercept = .5, linetype = "dashed") +
    geom_vline(xintercept = 0, linetype = "dashed") +
    voc_theme()
VoC_plot
```

## Plot: Sensitivity to value of control with continuous age 
```{r voc plot continuous age, fig.height = 3.9, fig.width = 3, unit = "in"}

#run model without age to get random effects for each participant
agency_byVOCTrial.glmer = mixed(agency ~ zVoC * zTrialOfCond + (zVoC * zTrialOfCond|subID), 
                        data = banditTask, 
                        family = binomial, 
                        method = "LRT", control=glmerControl(optimizer="bobyqa",optCtrl=list(maxfun=1e6)),
                        return = "merMod") 

#get fixed effect of zVoC
VoC_fixedeff <- as.data.frame(coef(summary(agency_byVOCTrial.glmer)))$Estimate[2]
VoC_int_fixedeff <- as.data.frame(coef(summary(agency_byVOCTrial.glmer)))$Estimate[4]

#get random effects
VoC_effects <- ranef(agency_byVOCTrial.glmer)$subID %>%
    rownames_to_column(var = "subID")

#combine with age
VoC_subEffects <- banditTask %>%
    select(subID, age) %>% 
    unique() %>%
    left_join(VoC_effects, by = c("subID")) %>%
    mutate(zVoCFull = zVoC + VoC_fixedeff, 
           intFull = `zVoC:zTrialOfCond` + VoC_int_fixedeff)

#plot age by VoC effect
VoC_plot_continuousAge <- ggplot(VoC_subEffects, aes(x = age, y = zVoCFull)) +
    geom_point(color = "#EB6D1E") + 
    geom_smooth(method = "lm", color = "#84347C", fill = "#84347C") +
    voc_theme() + 
    xlab("Age") +
    ylab("VoC Effect") 
VoC_plot_continuousAge

#plot age by VoC x trial effect
VoC_plot_continuousAgeTrial <- ggplot(VoC_subEffects, aes(x = age, y = intFull)) +
    geom_point(color = "#EB6D1E") + 
    geom_smooth(method = "lm", color = "#84347C", fill = "#84347C") +
    voc_theme() + 
    xlab("Age") +
    ylab("VoC x Trial Effect") 
VoC_plot_continuousAgeTrial
```


## Summary stats: Sensitivity to value of control
```{r voc summary stats}

# What proportion of trials did participants choose agency when VoC was 0?
VoC_zero_means_sub <- banditTask %>% 
    filter(voc == 0) %>%
    group_by(subID, age_group) %>%
    summarize(meanSubAgency = mean(agency, na.rm = T))

VoC_zero_means <- VoC_zero_means_sub %>%
    summarize(meanAgency = mean(meanSubAgency, na.rm = T),
              seAgency = sd(meanSubAgency / sqrt(n())))
VoC_zero_means
```


# Choice preference task 
## Choice preference task: summary stats
```{r reward sense summary stats}

# Read in data
rewardSense <- read_csv('data/processed/reward_sensitivity_task.csv') 

#combine with age
rewardSense <- full_join(rewardSense, sub_info, by = c("subID"))

# summary stats for accuracy
overallAcc <- rewardSense %>% 
    group_by(subID) %>% 
    filter(accuracy!=0) %>% 
    summarize(m=mean(correct, na.rm=T)) %>% 
    ungroup() %>% 
    summarize(meanAccuracy = mean(m), stdev = sd(m))
overallAcc

# mean = 76.9%
# stdev = 15.3%
```

## Model: Choice preference task accuracy
```{r bandit choices across by age in post-task assessment}

# first, filter data and rescale variables
rewardSense.filtered <- rewardSense %>%  
    filter(accuracy!=0)

# rescale variables of age and the true probability differences between two displayed bandits 
rewardSense.filtered$zAge <- scale(rewardSense.filtered$age)
rewardSense.filtered$zDiff<- scale(rewardSense.filtered$diff)

# run model
rewardSense.mixed <- mixed(correct~zDiff*zAge + (zDiff|subID), 
                           data= rewardSense.filtered,
                           family = binomial,
                           method = "LRT")
rewardSense.mixed 
```


# Explicit reward knowledge task 
## Explicit reward knowledge task: summary stats
```{r explicit knowledge task}

# Read in data
explicitKnow <- read_csv('data/processed/explicit_knowledge_task.csv') 

#combine with age
explicitKnow <- full_join(explicitKnow, sub_info, by = c("subID"))

explicitKnow %>% 
  group_by(subID, age) %>% 
  summarize(m = mean(error)) %>% 
  ungroup() %>% 
  summarize(meanErr = mean(m, na.rm=T), sd = sd(m,na.rm = T))
```

## Model: Explicit reward knowledge by age and true probabilities
```{r explicit knowledge model}
# predict trial-level error from true probability and age

#re-scale age and zTrueProb
explicitKnow.filtered <- explicitKnow %>%
    select(subID, age, trueProb, response, error) %>%
    drop_na()

explicitKnow.filtered$zAge <- scale(explicitKnow.filtered$age)
explicitKnow.filtered$zTrueProb <- scale(explicitKnow.filtered$trueProb)

# run model
explicitKnow_errorbyTrueProbAge.mixed <- mixed(error ~ zTrueProb*zAge + (1|subID), 
                                               data = explicitKnow.filtered,
                                               method = "S") 
explicitKnow_errorbyTrueProbAge.mixed
```

## Plot: Explicit reward knowledge
```{r plot explicit knowledge}
# plot response by bandit
explicitKnow %>% 
    ggplot(., aes(x=factor(trueProb), y=response, fill=age_group)) +
    geom_boxplot() +
    scale_fill_manual(values = c(color1, color2, color3), name = "Age Group") +
    ylab("Reported Reward Probability") +
    xlab("True Reward Probability") +
    scale_x_discrete(labels = c("10%", "30%", "50%", "70%", "90%")) +
    scale_y_continuous(breaks = c(1, 2, 3, 4, 5, 6, 7, 8, 9), 
                     labels = c("10%", "20%", "30%", "40%", "50%", "60%", "70%", "80%", "90%")) +
    voc_theme()
```
